In reinforcement learning (RL), rewards have been considered the most important feedback in understanding the environment. However, recently there have been interesting forays into other modes such as using sporadic supervisory inputs. This brings into the learning process richer information about the world of interest. In this paper, we model these supervisory inputs as specific types of instr...

Ab.macl The dimension of tbe guard lOne along with its bounds for the Generalised Learning Algorithm (P"thak and Pal. 1986) is determined 1'01' optimum learning. The dimension is found to be dynamic dependlllg on the input sequence and tbe current estimates of classification parameters. Incorporation of tbis higher-order knowledge in a supervisory program improves the system performance. The pe...

This study examined the relationship between supervisory justice and trust in supervisor and their impacts on extra-role performance. Drawing on fairness heuristic theory, we hypothesized that supervisory interactional justice would significantly affect the two domains of trust in supervisor, namely, reliance and disclosure, which in turn enhance subordinate extra-role performance. We also pred...

We present experimental results for the effect of an increased supervisory signal power in a high-loss loopback supervisory system in an optically amplified WDM transmission line. The paper focuses on the investigation of increasing the input power for the supervisory signal and the effect on the copropagating WDM data signals using different channel spacing. This investigation is useful for de...

Supervisory control and data acquisition systems (SCADA) are widely used in industry for supervisory control and data acquisition of industrial processes. The process can be industrial, infrastructure or facility. With the advances of electronic and software technologies, the SCADA systems are widely used in industrial plant automation. It provides an efficient tool to monitor and control equip...

In this paper, we propose a framework for real time monitoring and diagnosis of automated vehicles in an IVHS. The supervisory control methodology proposed here is concerned with fault detection, fault isolation, and control reconfiguration of the many sensors, actuators and controllers that are used in the control process. This supervisory control architecture operates at two levels of the AVC...